Article
DETECTING AND CLASSIFYING FRAUDULENT SMS AND EMAIL WITH A ROBUST MACHINE LEARNING APPROACH
Authors
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Abstract
Spam is an unwanted message or SMS sent on mobile phones whose content may be malicious. Scammers send fake text messages to trick people into responding to their SMS and they may hack personal information, password, account number, etc. To avoid being tricked by scammers, proposed a model based on Machine learning Algorithms. The proposed model is implemented using the Naïve Bayes algorithm and term frequency-inverse document frequency vectorizer. Obtained the dataset from Kaggle and trained the model using it. This model consists of a local host website which is obtained through PyCharm IDE. Obtained results show that the model accuracy of 95% and a precision of 100%.
Keywords
Spam SMS, Spam Email, Machine Learning, Naïve Bayes, Cyber Crime, Cyber Scam
Citation
Babu, P. B., Tangirala, N. A., Murarisetty, H. S. V., Battula, G., & Reddy Janapala, B. S. (2024). DETECTING AND classifying FRAUDULENT SMS AND EMAIL WITH a ROBUST MACHINE LEARNING APPROACH. Turkish Journal of Computer and Mathematics Education, 15(1), 109–112.
P. B. Babu, N. A. Tangirala, H. S. V. Murarisetty, G. Battula and B. S. Reddy Janapala, “DETECTING AND classifying FRAUDULENT SMS AND EMAIL WITH a ROBUST MACHINE LEARNING APPROACH,” Turkish Journal of Computer and Mathematics Education, vol. 15, no. 1, pp. 109–112, 2024.
Babu PB, Tangirala NA, Murarisetty HSV, Battula G, Reddy Janapala BS. DETECTING AND classifying FRAUDULENT SMS AND EMAIL WITH a ROBUST MACHINE LEARNING APPROACH. Turkish Journal of Computer and Mathematics Education. 2024;15(1):109–112.
Babu, P. B., Tangirala, N. A., Murarisetty, H. S. V., Battula, G. and Reddy Janapala, B. S. (2024), ‘DETECTING AND classifying FRAUDULENT SMS AND EMAIL WITH a ROBUST MACHINE LEARNING APPROACH’, Turkish Journal of Computer and Mathematics Education, 15(1), pp. 109–112.
Babu, P. Bujji, et al. “DETECTING AND Classifying FRAUDULENT SMS AND EMAIL WITH a ROBUST MACHINE LEARNING APPROACH.” Turkish Journal of Computer and Mathematics Education, vol. 15, no. 1, 2024, pp. 109–112.
Babu, P. Bujji, Naga Aswini Tangirala, Homa Sri Vishnu Murarisetty, Gopiprashanth Battula, and Bala Sudarsan Reddy Janapala. “DETECTING AND Classifying FRAUDULENT SMS AND EMAIL WITH a ROBUST MACHINE LEARNING APPROACH.” Turkish Journal of Computer and Mathematics Education 15, no. 1 (2024): 109–112.
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Published by: Engineering Journals
